Reliability Framework for Cloud Virtual Nodes using Fault Tolerance Techniques
Mridula Dhingra1, Neha Gupta2
1Mridula Dhingra*, Research Scholar Department of Computer Applications, Manav Rachna Indore, (Madhya Pradesh), India.
2Dr. Neha Gupta, PhD, Manav Rachna International University, Indore, (Madhya Pradesh), India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 7586-7593 | Volume-9 Issue-1, October 2019 | Retrieval Number: B2502129219/2019©BEIESP | DOI: 10.35940/ijeat.B2502.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Since cloud computing has numerous benefits and demands, it is much efficient performing real time computing in cloud infrastructure. This real time system takes benefits of scalable virtualized environment and intensive cloud computing capabilities for executing real time tasks. Most of the real time applications undergone its processing stage on remote cloud computing nodes. Here chances of error occurrence is also higher due to undecided latency. And it is necessary that the safety critical applications should have higher reliability. To determine whether the fault tolerance mechanism is having the higher reliability and availability or not. This paper proposes an efficient adaptive fault tolerance mechanism through reliability assessment architecture to enhance the reliability of the system. The decision mechanism is also proposed in this scheme to improve the efficiency a bit higher than normal scheme. At last the fine grained check point algorithm is utilized for reducing the latency. Thus from the analysis of the data it is proved that the execution time of proposed method hikes when compared to other conventional schemes.
Keywords: Fault tolerance, reliability, cloud computing, Decision making, Fine grained check pointing.